| 金属图像处理算法的研究 |
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| 引用本文： | 张小喜 毕革平. 金属图像处理算法的研究[J]. 北京理工大学学报, 2000, 20(6): 668-671 |
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| 作者姓名： | 张小喜 毕革平 |
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| 作者单位： | 1. 北京理工大学,电子工程系,北京,100081
2. 钢铁研究总院,北京,100081 |
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| 摘 要： | 研究提高金属图像面积和周长的计算精度，对计算图像像素的经典链中以改进，利用改进的链码方法计算图像的周长和面积时考虑了图像边界的拐点和小的锯齿边，利用本算法，图像面积和周长的计算误差最大不超过２％，与传统算法（计算误差大于１０％）相比计算精度得到较大提高，可满足实际工程需要。
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| 关 键 词： | 链码 金属图像 面积 周长 图像处理算法 像素 |
The Research on Algorithm for Metal Image Processing |
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| ZHANG Xiao xi,SHEN Ting zhi,BI Ge ping. The Research on Algorithm for Metal Image Processing[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2000, 20(6): 668-671 |
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| Authors: | ZHANG Xiao xi SHEN Ting zhi BI Ge ping |
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| Affiliation: | ZHANG Xiao xi 1,SHEN Ting zhi 1,BI Ge ping 2 |
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| Abstract: | The computation precision of metal image area and girth was increased, and the algorithm for traditional method of computing image was improved. When the improved chain code method was used to compute the area and girth of images, the turning points of image edges and the small ramp edges were considered.Using this algorithm, the computation error of image area and girth is less than 2 percents. Compared with the traditional algorithm(computation error is more than 10 percents), the computation precision of the proposed algorithm was greatly increased. It will meet the requirement of practical engineering. |
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| Keywords: | chain code metal image area girth |
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